ifuryst/aifi · Archived

market-signal-analysis

Analyze market-side signals for an investment target, including price action, relative performance, volume, volatility, valuation multiples, short interest, options activity, and event reactions.

First seen Aug 8, 2026

Installation

$ npx skills add ifuryst/aifi --skill market-signal-analysis

Summary

  • Analyze market-side signals for an investment target, including price action, relative performance, volume, volatility, valuation multiples, short interest, options activity, and event reactions.
  • Use when the user asks how the market is treating a stock or whether recent news is already reflected in price.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 22
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,793 B
  • docs SUMMARY.md 337 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Market Signal Analysis

Use this skill to understand market behavior around a target. It should describe signals and regimes, not pretend that price movement proves future returns.

Workflow

  1. Load the target profile, peer set, and existing market evidence.
  2. Collect current market data when the user asks for recent, latest, or current

conditions.

  1. Compare performance across relevant windows: 1D, 5D, 1M, 3M, YTD, 1Y, and

since major events when useful.

  1. Compare against peers, sector ETF, and broad market benchmark.
  2. Inspect volume, volatility, drawdown, valuation, short interest, and options

signals when available.

  1. Save a market note under research/targets/<target>/evidence/market/.
  2. Hand off notable signals to thesis and risk skills.

Read references/market-signal-checklist.md before writing a market note.

Output

Return:

  • market data timestamp and source
  • absolute and relative performance summary
  • event reaction notes
  • valuation and sentiment signals
  • stale or unavailable data labels
  • archive files created or updated
  • thesis and risk handoffs

Quality Gate

Before finishing:

  • state market-data timestamps and whether the market was open or closed
  • do not mix delayed and real-time data without labels
  • compare against a relevant benchmark
  • avoid implying causation from price movement alone
  • label options, short interest, and sentiment data by source and delay